Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Gaussian Process Foreground Subtraction and Power Spectrum Estimation for 21 cm Cosmology
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.15892.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T21:30:52.314362Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T07:16:27.062558Z
Reference resolution
0 of 0 outbound references displayed
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- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation a4509dd7-5358-47a5-91e5-3f197e25494e · inbound
Deep learning with hybrid frequency differencing and principal component analysis for 21-cm foreground and beam mitigation cites this paper.
Deep learning with hybrid frequency differencing and principal component analysis for 21-cm foreground and beam mitigation Gaussian Process Foreground Subtraction and Power Spectrum Estimation for 21 cm Cosmology
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T21:30:52.314362Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70c2c9b7-5287-464c-8cfc-a841f25a94bd · inbound
Mitigating residual foregrounds and systematic errors in SKA1-Low AA* EoR observations via Bayesian Gaussian Process Regression cites this paper.
Mitigating residual foregrounds and systematic errors in SKA1-Low AA* EoR observations via Bayesian Gaussian Process Regression Gaussian Process Foreground Subtraction and Power Spectrum Estimation for 21 cm Cosmology
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:16:27.076301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3ee7d381-2de6-496b-8491-38fd756aa892 · inbound
Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization cites this paper.
Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization Gaussian Process Foreground Subtraction and Power Spectrum Estimation for 21 cm Cosmology
Reference 148
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T01:14:24.457057Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.